Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture

Attia, Mohammed Hassan, Hossny, Mohammed, Zhou, Hailing, Nahavandi, Saeid, Asadi, Hamed and Yazdabadi, Anosha 2019, Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture, Computer methods and programs in biomedicine, vol. 177, pp. 17-30, doi: 10.1016/j.cmpb.2019.05.010.

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Title Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture
Author(s) Attia, Mohammed HassanORCID iD for Attia, Mohammed Hassan orcid.org/0000-0002-4803-2963
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Zhou, HailingORCID iD for Zhou, Hailing orcid.org/0000-0001-5009-4330
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Asadi, HamedORCID iD for Asadi, Hamed orcid.org/0000-0003-2475-9727
Yazdabadi, Anosha
Journal name Computer methods and programs in biomedicine
Volume number 177
Start page 17
End page 30
Total pages 14
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-08
ISSN 0169-2607
1872-7565
Keyword(s) Dermatology
Hair detection
Hair segmentation
Deep learning
Language eng
DOI 10.1016/j.cmpb.2019.05.010
Indigenous content off
Field of Research 0903 Biomedical Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122879

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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